VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models
by Stanford University · free · Last verified 2026-03-17
VoxPoser uses LLMs and vision-language models to synthesize 3D voxel-based value and constraint maps that guide robot motion planners, enabling zero-shot generalization to novel language instructions and object configurations. The approach produces trajectories without any robot-specific training by composing affordance maps in 3D space.
https://arxiv.org/abs/2307.05973 ↗C+
C+—Average
Adoption: BQuality: AFreshness: B+Citations: BEngagement: F
Specifications
- License
- Open Access
- Pricing
- free
- Capabilities
- 3d-reasoning, zero-shot-manipulation, value-map-synthesis, motion-planning
- Integrations
- Use Cases
- robotic-manipulation, novel-instruction-following, dexterous-robot-tasks
- API Available
- No
- Tags
- robotics, 3d, value-maps, language-models, manipulation, zero-shot
- Added
- 2026-03-17
- Completeness
- 100%
Index Score
57.7Adoption
60
Quality
87
Freshness
78
Citations
65
Engagement
0
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